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README.md
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# FastSam-X: Optimized for Mobile Deployment
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## Generate high quality segmentation mask on device
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The Fast Segment Anything Model (FastSAM) is a novel, real-time CNN-based solution for the Segment Anything task. This task is designed to segment any object within an image based on various possible user interaction prompts. The model performs competitively despite significantly reduced computation, making it a practical choice for a variety of vision tasks.
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This model is an implementation of
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This repository provides scripts to run FastSam-X on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/fastsam_x).
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# FastSam-X: Optimized for Mobile Deployment
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## Generate high quality segmentation mask on device
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The Fast Segment Anything Model (FastSAM) is a novel, real-time CNN-based solution for the Segment Anything task. This task is designed to segment any object within an image based on various possible user interaction prompts. The model performs competitively despite significantly reduced computation, making it a practical choice for a variety of vision tasks.
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This model is an implementation of Posenet-Mobilenet found [here](https://github.com/CASIA-IVA-Lab/FastSAM).
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This repository provides scripts to run FastSam-X on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/fastsam_x).
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